Ian R. Fasel
Computer Vision and Pattern Recognition · 2003–2015
A researcher in the Science corpus: 10 papers; trusts 23 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 61 citations into it; #8,471 of 21,575 by trust here, #4,988 by citations
- Experimental and Cognitive Psychology — 25 citations into it; #1,594 of 9,731 by trust here, #796 by citations
- Artificial Intelligence — 16 citations into it; #30,512 of 35,345 by trust here, #34,213 by citations
- Cognitive Neuroscience — 14 citations into it; #5,687 of 10,852 by trust here, #5,043 by citations
- Human-Computer Interaction — 10 citations into it; #1,107 of 2,253 by trust here, #503 by citations
- Optimization & Training — 9 citations into it
- Reinforcement Learning — 9 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Ian R. Fasel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Viola
- Takeo Kanade
- David John Cameron MacKay
- Jerome H. Friedman
- Ying-li Tian
- Yangbo He
- K. Chaloner
- Maja Pantic
- Michael J. Jones
- J. Urgen Schmidhuber
Who trusts Ian R. Fasel overall
- Adrien Baranes
- Fernando De la Torre
- Caifeng Shan
- Jeffrey F. Cohn
- Tadas Baltrusaitis
- Pierre-Yves Oudeyer
- Michel François Valstar
- J. Whitehill
- Shaogang Gong
- Martial Mermillod
Papers from Ian R. Fasel's perspective
Ordered by how strongly the researchers Ian R. Fasel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Nature of Statistical Learning Theory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. (2003) — 601 citations
- Dynamics of Facial Expression Extracted Automatically from Video (2004) — 501 citations
- Deep active object recognition by joint label and action prediction (2015) — 21 citations
- Toward Practical Smile Detection (2009) — 335 citations
- Fully Automatic Facial Action Recognition in Spontaneous Behavior (2006) — 346 citations
- Intrinsically motivated information foraging (2010) — 8 citations
- The computer expression recognition toolbox (CERT) (2011) — 621 citations
- Optimization on a Budget: A Reinforcement Learning Approach (2008) — 15 citations
- Automatic Recognition of Facial Actions in Spontaneous Expressions (2006) — 543 citations
- Recognizing facial expression: machine learning and application to spontaneous behavior (2005) — 730 citations